Product Manager - Applied Machine Learning

Product Manager - Applied Machine Learning

This job is no longer open

About us:

As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.

Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.

Right along with Target’s distinctive retail brand, we are constantly improving and innovating our digital shopping experience. Are you ready to excel in the fast-changing retail environment? Are you a customer service enthusiast who’s curious about the guest and can see the shopping journey through their eyes? Then you’ll have success on the Digital Strategy & Platform team, whose goal is to offer guests a seamless online shopping experience across our platforms—including Target.com and the store network’s fulfillment capabilities. Here, you’ll collaborate to create and implement the digital strategies that enrich the online experience through the right mix of personalization, simplicity and intuitiveness. Your ideas will support Target in complementing the beloved in-store shopping interaction with a convenient, reliable and instantly gratifying digital experience.

Product Teams at Target Corporation are accountable for the delivery of business outcomes enabled through technology and analytic products that are easy to use, easily maintained and highly reliable. Product teams have one shared backlog that is inclusive of all product, technology and design work.

As the Product Manager for Item Applied ML, you willbe responsible forensuring that the proper tools and services exist for 1) incorporating AI/ML solutions across the Item ecosystem and 2)maintaining a population-level view of model health and effectiveness. You will be working closely with engineering, data sciences, and other product managers to assist with key decisions relative to model / autonomous decision lifecycle. You will also be a key member of the AI/ML community at Target, building relationships acrosstheEnterpriseto ensure Item stays aligned to Digital and Enterprise best practices.

As a Product Manager, you will work in the product model and will collaborate with your product team and key stakeholders to develop a plan and business objectives (OKRs) for your respective product. You will need to build a strong knowledge of your product through product discovery to collect customer feedback and work to collect other relevant data points that explain the value and help you prioritize the direction and desired outcomes for your product. You will work in unison with engineers, UX designers, data scientists and business partners to deliver a product.

You will be the “voice of the product” with your product team and stakeholders to ensure that their needs are met, and you will be responsible to maintain and refine the product backlog (create user stories & acceptance criteria) while prioritizing the backlog to focus on the highest impact work for your team and stakeholders.

You will encourage the open exchange of information and viewpoints, as well as inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction. You will foster a sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About you: 

  • Four-year degree or equivalent experience

  • 4+ yearsof product management experience or equivalent Machine Learning

  • Working knowledge of human-in-the-loop principles

  • Technical aptitude, including working knowledge of Python

  • Storyteller with the ability to use data as evidence in support of a position

  • Experience working in an agile environment

  • Strong communication skills

This position may be considered for a Remote or Hybrid work arrangement based on Target’s needs.  A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. The salary range is :(min) USD - (max) USD. Pay is based on several factors which may include, but are not limited to education, work experience, certifications, labor markets, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

Americans with Disabilities Act (ADA)

Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.

This job is no longer open
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